Organizing Committee
- Yanlai Chen
University of Massachusetts, Dartmouth - Serkan Gugercin
Virginia Tech - Misha Kilmer
Tufts University - Yvon Maday
Sorbonne Université - Shari Moskow
Drexel University - Akil Narayan
University of Utah - Daniele Venturi
University of California, Santa Cruz
Abstract
Today's computational and experimental paradigms feature complex models along with disparate and, frequently, enormous data sets. This necessitates the development of theoretical and computational strategies for efficient and robust numerical algorithms that effectively resolve the important features and characteristics of these complex computational models. The desiderata for resolving the underlying model features is often application-specific and combines mathematical tasks like approximation, prediction, calibration, design, and optimization. Running simulations that fully account for the variability of the complexities of modern scientific models can be infeasible due to the curse of dimensionality, chaotic behavior or dynamics, and/or overwhelming streams of informative data.
This semester program focuses on both theoretical investigation and practical algorithm development for reduction in the complexity - the dimension, the degrees of freedom, the data - arising in these models. The four broad thrusts of the program are (1) Mathematics of reduced order models, (2) Algorithms for approximation and complexity reduction, (3) Computational statistics and data-driven techniques, and (4) Application-specific design. The particular topics include classical strategies such as parametric sensitivity analysis and best approximations, mature but active topics like principal component analysis and information-based complexity, and promising nascent topics such as layered neural networks and high-dimensional statistics.
This program will integrate diverse fields of mathematical analysis, statistical sciences, data and computer science, and specifically attract researchers working on model order reduction, data-driven model calibration and simplification, computations and approximations in high dimensions, and data-intensive uncertainty quantification. Various workshops will be designed to stimulate interaction between these research areas and establish cross-disciplinary collaboration. Investigation and assimilation of complementary approaches through other program events will achieve cross-fertilization and serve as a nexus for multiple research communities.

Confirmed Speakers & Participants
Talks will be presented virtually or in-person as indicated in the schedule below.
- Speaker
- Poster Presenter
- Attendee
- Virtual Attendee
-
Zamurat Adegboye
Institute of Mathematical and Physical SciencesMar 22-28, 2020
-
Faten Alamri
virginia commonwealth university and Princess Nourah Bint Abdul Rahman UniversityApr 19-25, 2020
-
Terrence Alsup
Courant Institute of Mathematical SciencesFeb 16-22, 2020; Apr 19-25, 2020
-
Manuchehr Aminian
Colorado State UniversityFeb 16-22, 2020
-
Thanos Antoulas
Rice UniversityFeb 16-22, 2020
-
Andrea Arnold
Worcester Polytechnic InstituteApr 20-24, 2020
-
Mazlum Ferhat Arslan
Middle East Technical UniversityJan 26-May 2, 2020
-
Saed Asaly
Ariel UniversityApr 19-25, 2020
-
Yonatan Ashenafi
Rensselaer Polytechnic InstituteApr 19-25, 2020
-
Selin Aslan
Argonne National LaboratoryMar 22-28, 2020
-
Brian Avants
Penn Image Computing and Science Laboratory at UPennJan 27-May 1, 2020
-
Karim Azumah
Pan African University for Basic Sciences, Technology and InnovationApr 19-25, 2020
-
Ashwin Babu
Dassault Systemes Simulia CorpFeb 17-22, 2020
-
Zhe Bai
Lawrence Berkeley National LabApr 19-25, 2020
-
Christopher Beattie
Virginia TechJan 26-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Amina Benaceur
MITFeb 16-22, 2020; Mar 22-28, 2020
-
Peter Benner
Max Planck Institute for Dynamics of Complex Technical Systems, MagdeburgJan 28-Mar 13, 2020; Mar 23-27, 2020
-
George Biros
ICESApr 23-24, 2020
-
Raed Blel
CERMICSFeb 16-22, 2020
-
Liliana Borcea
University of MichiganApr 19-25, 2020
-
Jeff Borggaard
Virginia TechFeb 16-22, 2020; Mar 22-28, 2020
-
Sergiy Borodachov
Towson UniversityMar 5-15, 2020; Mar 23-27, 2020
-
Tamara Broderick
Massachusetts Institute of TechnologyApr 19-25, 2020
-
Tan Bui-Thanh
University of Texas at AustinFeb 16-22, 2020
-
Olena Burkovska
Oak Ridge National LaboratoryMar 23-27, 2020
-
Jared Callaham
University of WashingtonMar 22-28, 2020
-
Kevin Carlberg
University of WashingtonFeb 16-22, 2020; Mar 22-28, 2020
-
Peter Challenor
University of ExeterApr 19-25, 2020
-
Jesse Chan
Rice UniversityFeb 16-22, 2020; Mar 22-28, 2020
-
Zheng “Leslie” Chen
University of Massachusetts DartmouthJan 27-May 1, 2020
-
Yanlai Chen
University of Massachusetts, DartmouthJan 27-May 1, 2020
-
Yingda Cheng
Michigan State UniversityJan 27-Mar 8, 2020; Mar 23-27, 2020
-
Haiyan Cheng
Willamette UniversityApr 20-24, 2020
-
Karim Cherifi
MPI Magdeburg, GermanyFeb 16-22, 2020
-
Francisco Chinesta
ENSAMMar 22-28, 2020
-
Merlise Clyde
Duke UniversityApr 19-25, 2020
-
Albert Cohen
Sorbonne UniversitéFeb 16-22, 2020
-
Paul Constantine
University of Colorado BoulderFeb 3-Mar 19, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Keisha Cook
Tulane UniversityApr 19-25, 2020
-
Wolfgang Dahmen
University of South CarolinaFeb 16-22, 2020
-
Gregory Darnell
ICERMSep 1, 2019-Jun 1, 2020
-
Julio de Lima Nicolini
Ohio State UniversityFeb 16-22, 2020; Apr 20-25, 2020
-
Eric de Sturler
Virginia TechFeb 16-22, 2020; Mar 23-27, 2020
-
David Del Rey Fernádez
National Institute of Aerospace contracted to NASAFeb 16-22, 2020
-
Anton Dereventsov
Oak Ridge National LaboratoryApr 19-25, 2020
-
Mingchang Ding
University of DelawareFeb 16-22, 2020; Mar 22-28, 2020; Apr 19-25, 2020
-
Adi Ditkowski
Tel Aviv UniversityFeb 16-22, 2020
-
Alireza Doostan
University of Colorado BoulderMar 23-27, 2020; Apr 20-24, 2020
-
Kathryn Drake
Boise State UniversityApr 19-25, 2020
-
Vladimir Druskin
Worcester Polytechnic InstituteJan 27-Mar 13, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Karthik Duraisamy
University of MichiganMar 22-28, 2020
-
Virginie Ehrlacher
CERMICS – ENPCFeb 16-22, 2020
-
Fariba Fahroo
AFOSRFeb 18-21, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Ionut Farcas
The University of Texas at AustinFeb 16-22, 2020
-
Charbel Farhat
Stanford UniversityMar 22-28, 2020
-
Heike Faßbender
Technische Universität BraunschweigFeb 16-22, 2020
-
Lihong Feng
Max Planck Institute for Dynamics of Complex Technical SystemsFeb 18-Mar 13, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Jinchao Feng
Johns Hopkins UniversityMar 22-28, 2020
-
Guosheng Fu
University of Notre DameFeb 16-22, 2020; Mar 22-28, 2020
-
Guosheng Fu
Brown UniversityApr 20-24, 2020
-
Khaled Furati
King Fahd University of Petroleum and MineralsApr 20-24, 2020
-
Roger Ghanem
University of Southern CaliforniaMar 22-28, 2020
-
Nathan Gibson
Oregon State UniversityFeb 16-22, 2020; Apr 20-24, 2020
-
Anna Gilbert
University of MichiganApr 19-25, 2020
-
Silke Glas
Cornell UniversityFeb 16-22, 2020
-
Ion Victor Gosea
Max Planck Institute for Dynamics of Complex Technical SystemsFeb 16-22, 2020; Mar 22-28, 2020
-
Pawan Goyal
MPI MagdeburgFeb 16-22, 2020
-
Carmen Gräßle
Max Planck Institute for Dynamics of Complex Technical SystemsFeb 16-22, 2020
-
Rachel Grotheer
Goucher CollegeFeb 16-22, 2020; Mar 22-28, 2020
-
Sara Grundel
Max Planck InsituteMar 22-28, 2020
-
Serkan Gugercin
Virginia TechJan 23-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Diane Guignard
Texas A&M UniversityFeb 16-22, 2020
-
Wei Guo
Texas Tech UniversityFeb 16-22, 2020; Mar 22-28, 2020
-
Bernard Haasdonk
University of StuttgartMar 22-28, 2020
-
Tom Hagstrom
Southern Methodist UniversityFeb 16-22, 2020
-
Aidan Hamilton
University of DelawareMar 23-28, 2020
-
Dirk Hartmann
SIEMENSFeb 16-22, 2020
-
Matthias Heinkenschloss
Rice UniversityFeb 16-22, 2020
-
Christian Himpe
Max Planck Institute for Dynamics of Complex Technical SystemsFeb 2-Mar 13, 2020; Apr 20-24, 2020
-
Jeffrey Hokanson
University of Colorado BoulderJan 28-May 2, 2020
-
Jingwei Hu
Purdue UniversityFeb 16-22, 2020
-
Xiaozhe Hu
Tufts UniversityJan 26-Mar 28, 2020
-
Juntao Huang
Michigan State UniverisityFeb 16-22, 2020
-
Traian Iliescu
Virginia TechMar 22-28, 2020
-
Muhammad Izzatullah
King Abdullah University of Science and TechnologyFeb 3-May 1, 2020
-
Ameya Jagtap
Division of Applied MathematicsFeb 16-22, 2020
-
Lijie Ji
UMass Dartmouth/Shanghai Jiao Tong UniversityJan 27-May 1, 2020
-
Jiahua Jiang
Virginia TechJan 26-May 2, 2020
-
Sebastian Kaltenbach
Technical University of Munich - Continuum Mechanics GroupApr 19-25, 2020
-
Dimitris Kamilis
University of EdinburghFeb 16-22, 2020
-
Isabelle Kemajou-Brown
Morgan State UniversityApr 20-24, 2020
-
Abdul Khaliq
Middle Tennessee State UniversityApr 20-24, 2020
-
Parisa Khodabakhshi
UT AustinFeb 16-22, 2020
-
Misha Kilmer
Tufts UniversityJan 27-May 1, 2020
-
BONGSIK KIM
American University of Ras Al KhaimahApr 19-25, 2020
-
Gerhardus Kirsten
University of BolognaFeb 24-Mar 27, 2020
-
Liang Kong
University of Illinois at SpringfieldApr 19-25, 2020
-
Peter Kramer
Rensselaer Polytechnic InstituteJan 26-Apr 17, 2020; Apr 20-24, 2020
-
Boris Krämer
University of California San DiegoFeb 16-22, 2020
-
Christian Kümmerle
Johns Hopkins UniversityMar 22-28, 2020; Apr 20-24, 2020
-
J. Nathan Kutz
University of WashingtonApr 19-25, 2020
-
Pierre Ladeveze
École Normale Supérieure Paris-SaclayMar 22-28, 2020
-
Jeonghun Lee
Baylor UniversityFeb 16-22, 2020
-
Sanda LEFTERIU
IMT Lille DouaiJan 26-Mar 18, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Fengyan Li
Rensselaer Polytechinic InstituteJan 26-Apr 17, 2020; Apr 20-24, 2020
-
Yuwen Li
Pennsylvania State UniversityFeb 16-22, 2020
-
Jichun Li
University of Nevada Las VegasApr 19-25, 2020
-
xiantao Li
Pennsylvania State UniversityFeb 16-22, 2020
-
Xingjie Li
University of North Carolina at CharlotteFeb 16-22, 2020; Apr 19-25, 2020
-
Guang Lin
Purdue UniversityApr 19-25, 2020
-
Yong Liu
USTCJan 27-May 1, 2020
-
ZEXIN LIU
UNIVERSITY OF UTAHMar 23-27, 2020
-
Fei Lu
Johns Hopkins UniversityMar 23-27, 2020
-
Hannah Lu
Stanford UniversityFeb 16-22, 2020
-
Marcella M Gomez
University of California Santa CruzApr 19-25, 2020
-
Anna Ma
University of California IrvineApr 19-25, 2020
-
Yvon Maday
Sorbonne UniversitéJan 29-30, 2020; Feb 16-22, 2020; Mar 23-27, 2020
-
Mauro Maggioni
Johns Hopkins UniversityApr 19-25, 2020
-
Michael Mahoney
University of California, BerkeleyApr 19-25, 2020
-
Alba Málaga Sabogal
ICERMSep 1, 2019-Jun 11, 2020
-
Reza Malek-Madani
U.S. Naval AcademyApr 20-24, 2020
-
Krithika Manohar
California Institute of TechnologyApr 19-25, 2020
-
Michael Patrick Martin
Johns Hopkins UniversityMar 22-28, 2020
-
Youssef Marzouk
Massachusetts Institute of TechnologyJan 27-May 1, 2020
-
Romit Maulik
Argonne National LaboratoryFeb 17-21, 2020; Mar 23-27, 2020
-
F. Patricia Medina
Yeshiva UniversityApr 20-24, 2020
-
Volker Mehrmann
TU BerlinFeb 16-22, 2020
-
Petar Mlinarić
Max Planck Institute for Dynamics of Complex Technical SystemsFeb 4-Mar 18, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Peter Monk
University of DelawareJan 27-Mar 14, 2020; Mar 23-27, 2020
-
Ryleigh Moore
University of UtahMar 22-28, 2020; Apr 19-25, 2020
-
Shari Moskow
Drexel UniversityApr 20-24, 2020
-
Lin Mu
University of GeorgiaMar 22-28, 2020
-
Olga Mula
Paris Dauphine UniversityFeb 16-22, 2020
-
Akil Narayan
University of UtahJan 26-Mar 29, 2020; Apr 20-24, 2020
-
Carmeliza Navasca
University of Alabama at BirminghamJan 26-May 1, 2020
-
Indranil Nayak
The Ohio State UniversityFeb 16-22, 2020
-
Nicole Nellesen
RWTH Aachen UniversityMar 22-28, 2020; Apr 20-24, 2020
-
Ron Ofir
Technion - Israel Institute of TechnologyFeb 17-21, 2020
-
Kayode Olumoyin
Middle Tennessee State UniversityApr 20-24, 2020
-
Melkior Ornik
University of Illinois at Urbana-ChampaignApr 19-24, 2020
-
Karl Otness
New York UniversityFeb 16-22, 2020
-
Emmanuel de-Graft Johnson Owusu-Ansah
Kwame Nkrumah University of Science and TechnologyMar 23-27, 2020
-
Cecilia Pagliantini
EPFL, Ecole Polytechnique Federale de LausanneFeb 16-21, 2020
-
Davide Palitta
Max Planck Institute for Dynamics of Complex Technical SystemsJan 12-Mar 27, 2020
-
Juming Pan
Rowan UniversityApr 19-25, 2020
-
Anthony Patera
MITFeb 16-22, 2020
-
Benjamin Peherstorfer
Courant Institute, New York UniversityJan 30-31, 2020; Feb 16-21, 2020; Mar 2-6, 2020; Apr 19-24, 2020
-
Zhichao Peng
Rensselaer Polytechnic InstituteJan 26-May 2, 2020
-
Paris Perdikaris
University of PennsylvaniaApr 19-25, 2020
-
Rebecca Pereira
University of Massachusetts DartmouthMar 22-28, 2020
-
Vasilije Perovic
University of Rhode IslandFeb 17-21, 2020
-
Armenak Petrosyan
Oak Ridge National LaboratoryFeb 16-22, 2020
-
Blake Pollard
National Institute of Standards and TechnologyFeb 17-21, 2020
-
Sara Pollock
University of FloridaMar 22-28, 2020
-
Igor Pontes Duff
Max Planck Institute for Dynamics of Complex Technical SystemsFeb 16-22, 2020
-
Thomas Prescott
University of OxfordFeb 16-22, 2020
-
Elizabeth Qian
MITJan 27-May 1, 2020
-
Jingmei Qiu
University of DelawareMar 23-25, 2020
-
Annalisa Quaini
University of HoustonMar 22-28, 2020
-
Jeffrey Regier
University of California, BerkeleyApr 19-25, 2020
-
Kui Ren
Columbia UniversityFeb 26-28, 2020
-
Rosemary Renaut
Arizona State UniversityMar 22-28, 2020; Apr 19-25, 2020
-
Viktor Reshniak
Oak Ridge National LaboratoryFeb 16-22, 2020; Mar 22-28, 2020; Apr 19-25, 2020
-
Donsub Rim
New York UniversityFeb 16-22, 2020
-
Abel Rodriguez
University of California, Santa CruzApr 19-25, 2020
-
Steven Rodriguez
U.S. Naval Research LaboratoryFeb 16-22, 2020
-
Gianluigi Rozza
SISSA – International School for Advanced StudiesFeb 16-22, 2020; Mar 22-28, 2020
-
Jennifer Ryan
Colorado School of MinesMar 23-27, 2020
-
Quratulan Sabir
National College of business administration and economicsApr 20-24, 2020
-
Arvind Saibaba
North Carolina State UniversityMar 22-28, 2020
-
Themistoklis Sapsis
MITApr 19-25, 2020
-
Neeraj Sarna
Max Planck Institute-MagdeburgFeb 1-Mar 16, 2020
-
Robert Scheichl
University of HeidelbergApr 19-25, 2020
-
Michael Schneier
University of PittsburghJan 13-Apr 17, 2020; Apr 20-24, 2020
-
Christoph Schwab
ETH ZürichMar 23-27, 2020
-
Babak Shahbaba
University of California - IrvineApr 19-25, 2020
-
Yeonjong Shin
Brown UniversityApr 20-24, 2020
-
Kathrin Smetana
University of TwenteMar 22-28, 2020
-
Devin Smith
Rensselaer Polytechnic InstituteJan 26-Mar 20, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Sarah Soleiman
Université Paris 1 Panthéon SorbonneApr 19-25, 2020
-
Susanna Spektor
Sheridan college institute of technologyApr 20-24, 2020
-
Georg Stadler
CIMS NYUApr 19-25, 2020
-
Benjamin Stamm
RWTH Aachen UniversityFeb 16-28, 2020; Mar 23-Apr 3, 2020
-
Shannon Starr
University of Alabama at BirminghamJan 27-May 1, 2020
-
Jemima Tabeart
University of EdinburghJan 13-May 1, 2020
-
Sui Tang
Johns Hopkins UniversityApr 20-24, 2020
-
Qi Tao
USTCJan 27-May 1, 2020
-
Daniel Tartakovsky
Stanford UniversityFeb 16-22, 2020
-
Manuel Tiglio
Universidad Nacional de CórdobaMar 23-27, 2020
-
Zoran Tomljanovic
University of OsijekFeb 16-22, 2020
-
Shanyin Tong
New York UniversityApr 19-25, 2020
-
THOMAS Torku
Middle Tennessee State UniversityApr 20-24, 2020
-
Shashanka Ubaru
IBM T.J. Watson Research CenterMar 22-28, 2020
-
Wayne Isaac Uy
Courant Institute of Mathematical Sciences, NYUApr 20-24, 2020
-
Daniele Venturi
University of California, Santa CruzJan 25-Mar 27, 2020; Apr 20-24, 2020
-
Karen Veroy-Grepl
TU EindhovenFeb 16-22, 2020; Apr 19-25, 2020
-
Pedro Vilanova Guerra
NJITFeb 17-21, 2020; Mar 23-27, 2020
-
Aaron Villanueva
National University of CordobaMar 23-27, 2020
-
Soledad Villar
NYUApr 20-24, 2020
-
Zhu Wang
University of South CarolinaJan 26-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
-
Yating Wang
Purdue UniversityMar 22-28, 2020
-
Min Wang
Duke UniversityJan 15-May 3, 2020
-
Ting Wang
US Army Research LaboratoryFeb 16-22, 2020
-
Xiaoyu Wang
Florida State UniversityApr 19-25, 2020
-
Rachel Ward
University of Texas at AustinApr 20-24, 2020
-
Jonathan Weare
Courant Institute, New York UniversityApr 19-25, 2020
-
Karen Willcox
UT AustinFeb 16-22, 2020
-
Xiaojie Wu
University of California, BerkeleyFeb 16-22, 2020
-
Jinlong Wu
California Institute of TechnologyApr 20-24, 2020
-
Qing Xia
Rensselaer Polytechnic InstituteFeb 16-22, 2020
-
Yulong Xing
The Ohio State UniversityMar 22-28, 2020
-
Yiming Xu
University of UtahApr 19-25, 2020
-
Yang Yang
Michigan Technological UniversityFeb 16-22, 2020; Mar 23-27, 2020; Apr 19-25, 2020
-
Masayuki Yano
University of TorontoMar 22-28, 2020
-
uzma yasmeen
Comstas Islamabad Lahore campusApr 19-25, 2020
-
Felix Ye
Johns Hopkins UniversityFeb 16-22, 2020
-
Mikhail Zaslavskiy
SchlumbergerJan 27-Mar 13, 2020; Apr 20-24, 2020
-
yangwen zhang
University of DelawareJan 27-Mar 19, 2020; Mar 23-27, 2020
-
Xu Zhang
Oklahoma State UniversityFeb 16-22, 2020
-
Jia Zhao
Utah State UniversityFeb 16-22, 2020; Apr 19-25, 2020
-
Ming Zhong
Johns Hopkins UniversityFeb 16-22, 2020; Mar 22-28, 2020
-
Cong Zhou
Indiana UniversityApr 19-25, 2020
-
Shouhao Zhou
Penn State College of MedicineApr 19-25, 2020
-
Xueyu Zhu
University of IowaFeb 16-22, 2020; Apr 19-25, 2020
-
Lingjiong Zhu
Florida State UniversityApr 19-25, 2020
-
Jorn Zimmerling
University of MichiganFeb 16-22, 2020; Apr 20-24, 2020
Visit dates listed on the participant list may be tentative and subject to change without notice.
Semester Schedule
Monday, January 27, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:00 - 4:30pm EST | Model and dimension reduction in uncertain and dynamic systems Check-In/Registration | 121 South Main Street, 11th Floor | |
3:00 - 3:30pm EST | ICERM Welcome and Coffee/Tea Break | 11th Floor Collaborative Space |
Tuesday, January 28, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:00 - 9:30am EST | ICERM Semester Program Welcome - Brendan Hassett, ICERM Director and ICERM staff | 11th Floor Lecture Hall | |
9:30 - 10:30am EST | Program Overview / Organizer Welcome | 11th Floor Lecture Hall | |
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space | |
4:00 - 5:30pm EST | Semester Program Welcome Reception | 11th Floor Collaborative Space |
Wednesday, January 29, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:00 - 9:30am EST | Graduate Student Introductions - Lijie Ji, UMass Dartmouth/Shanghai Jiao Tong University; Yong Liu, Brown University; Zhichao Peng, Rensselaer Polytechnic Institute | 11th Floor Lecture Hall | |
9:30 - 9:45am EST | 15 Minute Break | ||
9:45 - 10:35am EST | Graduate Student / Postdoc Introductions - Elizabeth Qian, MIT;Devin Smith, Rensselaer Polytechnic Institute;Mazlum Arslan, Middle East Technical University;Gregory Darnell, Princeton University | 11th Floor Lecture Hall | |
10:35 - 11:00am EST | Coffee/Tea Break | 11th Floor Collaborative Space | |
11:00 - 12:00pm EST | Postdoc Introductions - Jeffrey Hokanson, University of Colorado Boulder; Jiahua Jiang, Virginia Tech; Davide Palitta, Max Planck Institute for Dynamics of Complex Technical Systems; | 11th Floor Lecture Hall | |
12:00 - 2:00pm EST | Break for Lunch / Free Time | ||
2:00 - 2:40pm EST | Postdoc Introductions - Michael Schneier, University of Pittsburgh; Jemima Tabeart, University of Edinburgh | 11th Floor Lecture Hall | |
2:40 - 3:10pm EST | Coffee/Tea Break | 11th Floor Collaborative Space | |
3:10 - 3:50pm EST | Postdoc Introductions - Min Wang, Duke University; Yangwen Zhang, University of Delaware | 11th Floor Lecture Hall |
Thursday, January 30, 2020
Friday, January 31, 2020
Monday, February 3, 2020
Tuesday, February 4, 2020
Wednesday, February 5, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:30 - 10:30am EST | Tutorial/ Introductory Talk - An introduction to Reduced Basis Methods - Yanlai Chen, University of Massachusetts, Dartmouth | 11th Floor Lecture Hall | |
10:30 - 11:00am EST | Coffee/Tea Break | 11th Floor Collaborative Space, | |
11:00 - 12:00pm EST | Tutorial/ Introductory Talk - An introduction to Reduced Basis Methods - Yanlai Chen, University of Massachusetts, Dartmouth | 11th Floor Lecture Hall, | |
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Thursday, February 6, 2020
Friday, February 7, 2020
Monday, February 10, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EST | Mentoring Tea Break | 11th Floor Collaborative Space |
Tuesday, February 11, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Wednesday, February 12, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:00 - 10:00am EST | Professional Development: Ethics I | 11th Floor Lecture Hall | |
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Thursday, February 13, 2020
Friday, February 14, 2020
Monday, February 17, 2020
Tuesday, February 18, 2020
Wednesday, February 19, 2020
Thursday, February 20, 2020
Friday, February 21, 2020
Monday, February 24, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Tuesday, February 25, 2020
Time | Event | Location | Materials |
---|---|---|---|
2:00 - 3:00pm EST | Interpolating 3-Tensors in PDE Constrained Optimization - Caleb Magruder, Mathworks | 11th Floor Lecture Hall | |
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Wednesday, February 26, 2020
Time | Event | Location | Materials |
---|---|---|---|
8:55 - 9:00am EST | Postdoc/ Graduate Student Photo | 11th Floor Collaborative Space | |
9:00 - 10:00am EST | Professional Development: Ethics II | 11th Floor Lecture Hall | |
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Thursday, February 27, 2020
Friday, February 28, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Monday, March 2, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Tuesday, March 3, 2020
Wednesday, March 4, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:00 - 10:00am EST | Professional Development: Job Applications in Academia | 11th Floor Lecture Hall | |
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Thursday, March 5, 2020
Time | Event | Location | Materials |
---|---|---|---|
12:00 - 1:00pm EST | Postdoc/ Grad Student Seminar | 10th Floor Classroom | |
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Friday, March 6, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EST | Coffee/Tea Break | 11th Floor Collaborative Space |
Monday, March 9, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EDT | Coffee/Tea Break | 11th Floor Collaborative Space |
Tuesday, March 10, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EDT | Coffee/Tea Break | 11th Floor Collaborative Space |
Wednesday, March 11, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:00 - 10:00am EDT | Professional Development: Hiring Process | 11th Floor Lecture Hall | |
3:00 - 3:30pm EDT | Coffee/Tea Break | 11th Floor Collaborative Space |
Thursday, March 12, 2020
Time | Event | Location | Materials |
---|---|---|---|
12:00 - 1:00pm EDT | Postdoc/ Grad Student Seminar: Week 4 - Mazlum Ferhat Arslan, Middle East Technical University and Zhichao Peng, Rensselaer Polytechnic Institute | 10th Floor Classroom | |
3:00 - 3:30pm EDT | Coffee/Tea Break | 11th Floor Collaborative Space |
Friday, March 13, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 3:30pm EDT | Coffee/Tea Break | 11th Floor Collaborative Space |
Monday, March 16, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Inverse Problems and Data Assimilation Working Group | 11th floor lecture hall, |
Tuesday, March 17, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Reduced basis methods and systems theory working group | 11th Floor Lecture Hall |
Wednesday, March 18, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 4:00pm EDT | "Make Your Own Coffee" Hour |
Thursday, March 19, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Tensor methods working group | 11th Floor Lecture Hall |
Monday, March 23, 2020
Tuesday, March 24, 2020
Wednesday, March 25, 2020
Thursday, March 26, 2020
Friday, March 27, 2020
Monday, March 30, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Inverse Problems and Data Assimilation Working Group |
Tuesday, March 31, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Reduced basis methods and systems theory working group |
Wednesday, April 1, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 4:00pm EDT | "Make Your Own Coffee" Hour |
Thursday, April 2, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Tensor methods working group |
Monday, April 6, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Inverse Problems and Data Assimilation Working Group |
Tuesday, April 7, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Reduced basis methods and systems theory working group |
Wednesday, April 8, 2020
Time | Event | Location | Materials |
---|---|---|---|
9:00 - 10:00am EDT | Professional Development: Papers and Journals | ||
3:00 - 4:00pm EDT | "Make Your Own Coffee" Hour |
Thursday, April 9, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Tensor methods working group | ||
12:00 - 1:00pm EDT | Postdoc/ Grad Student Seminar |
Monday, April 13, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Inverse Problems and Data Assimilation Working Group |
Tuesday, April 14, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Reduced basis methods and systems theory working group |
Wednesday, April 15, 2020
Thursday, April 16, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Tensor methods working group |
Monday, April 20, 2020
Tuesday, April 21, 2020
Wednesday, April 22, 2020
Thursday, April 23, 2020
Friday, April 24, 2020
Monday, April 27, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Inverse Problems and Data Assimilation Working Group |
Tuesday, April 28, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Reduced basis methods and systems theory working group |
Wednesday, April 29, 2020
Time | Event | Location | Materials |
---|---|---|---|
3:00 - 4:00pm EDT | "Make Your Own Coffee" Hour |
Thursday, April 30, 2020
Time | Event | Location | Materials |
---|---|---|---|
10:30 - 12:00pm EDT | Tensor methods working group | ||
3:00 - 3:30pm EDT | Closing Remarks from Directorate |
Lecture Videos
Tutorial - Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part V - Balancing-based Methods for Nonlinear Systems
Tutorial - Introductory Talk - Data-Driven Reduced Order Models As Deep Prior Neural Networks In Inverse Scattering
Tutorial/ Introductory Talk - Active Subspaces - Emerging ideas for parameter reduction in computational science and engineering
Tutorial/ Introductory Talk - Introduction to Multigrid Methods
Tutorial/ Introductory Talk - An introduction to Reduced Basis Methods - Part II
Tutorial/ Introductory Talk - An introduction to Reduced Basis Methods - Part I
Tutorial - Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part III-B - Preserving System Structure
Tutorial - Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part III-A
Tutorial/ Introductory Talk - Introduction to Tensor Decompositions for Dimensionality Reduction
Tutorial/ Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part II-B
Tutorial/ Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part II-A
Tutorial/ Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part I-C - Balancing-based Methods
Tutorial/ Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part I-B - Balancing-based Methods
Tutorial/ Introductory Talk - An Introduction to System-theoretic Methods for Model Reduction - Part I-A - Balancing-based Methods
Publications
- Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang, Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs, Journal of Scientific Computing 95 (2023) no. 2, 54.
- Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan, Quadrature Sampling of Parametric Models with Bi-fidelity Boosting, arXiv preprint arXiv:2209.05705 (2022).
- Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Variational inference for nonlinear inverse problems via neural net kernels: Comparison to Bayesian neural networks, application to topology optimization, Computer Methods in Applied Mechanics and Engineering 400 (2022), 115495.
- Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M Kirby, Multifidelity modeling for physics-informed neural networks (PINNs), Journal of Computational Physics 451 (2022), 110844.
- Jarom D Hogue, Robert M Kirby, Akil Narayan, Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures, arXiv preprint arXiv:2204.04273 (2022).
- Daniele Venturi, Alec Dektor, Spectral methods for nonlinear functionals and functional differential equations, Research in the Mathematical Sciences 8 (2021) no. 2, 27.
- Misha E Kilmer, Arvind K Saibaba, Structured Matrix Approximations via Tensor Decompositions, arXiv preprint arXiv:2105.01170 (2021).
- Peter Benner, Serkan Gugercin, Steffen WR Werner, Structure-preserving interpolation of bilinear control systems, Advances in Computational Mathematics 47 (2021) no. 3, 1--38.
- Sofia Davydycheva, Vladimir Druskin, Leonid Knizhnerman, Michael Rabinovich, Quality control of ultra-deep resistivity imaging using fast 3D electromagnetic modeling, SEG Technical Program Expanded Abstracts 2020, Society of Exploration Geophysicists, 2020, pp. 380--384.
- Elizabeth Qian, Jemima M Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R Kramer, Akil Narayan, Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference, Journal of Scientific Computing 91 (2022) no. 1, 1--30.
- Yanlai Chen, Lijie Ji, Akil Narayan, Zhenli Xu, L1-based reduced over collocation and hyper reduction for steady state and time-dependent nonlinear equations, Journal of Scientific Computing 87 (2021) no. 1, 1--21.
- Huy Dinh, Harbir Antil, Yanlai Chen, Elena Cherkaev, Akil Narayan, Model reduction for fractional elliptic problems using Kato's formula, arXiv preprint arXiv:1904.09332 (2019).
- Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban, Very Weak Space-Time Variational Formulation for the Wave Equation: Analysis and Efficient Numerical Solution, arXiv preprint arXiv:2107.12119 (2021).
- Kui Ren, Yimin Zhong, Unique determination of absorption coefficients in a semilinear transport equation, SIAM Journal on Mathematical Analysis 53 (2021) no. 5, 5158--5184.
- Fatoumata Sanogo, Carmeliza Navasca, Stefan Kindermann, Tensor Deblurring and Denoising Using Total Variation, arXiv preprint arXiv:2111.03965 (2021).
- Brian B Avants, Nicholas J Tustison, James R Stone, Similarity-driven multi-view embeddings from high-dimensional biomedical data, Nature computational science 1 (2021) no. 2, 143--152.
- Nicholas J Tustison, Philip A Cook, Andrew J Holbrook, Hans J Johnson, John Muschelli, Gabriel A Devenyi, Jeffrey T Duda, Sandhitsu R Das, Nicholas C Cullen, Daniel L Gillen, others, The ANTsX ecosystem for quantitative biological and medical imaging, Scientific reports 11 (2021) no. 1, 1--13.
- Peter Benner, Serkan Gugercin, Steffen WR Werner, Structure-preserving interpolation for model reduction of parametric bilinear systems, Automatica 132 (2021), 109799.
- Ion Victor Gosea, Serkan Gugercin, The AAA framework for modeling linear dynamical systems with quadratic output, arXiv preprint arXiv:2005.10316 (2020).
- Andrea Carracedo Rodriguez, Serkan Gugercin, The p-AAA algorithm for data driven modeling of parametric dynamical systems, arXiv preprint arXiv:2003.06536 (2020).
- Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Multilevel designed quadrature for partial differential equations with random inputs, SIAM Journal on Scientific Computing 43 (2021) no. 2, A1412--A1440.
- Dihan Dai, Yekaterina Epshteyn, Akil Narayan, Non-Dissipative and Structure-Preserving Emulators via Spherical Optimization, arXiv preprint arXiv:2108.12053 (2021).
- Akil Narayan, Liang Yan, Tao Zhou, Optimal design for kernel interpolation: Applications to uncertainty quantification, Journal of Computational Physics 430 (2021), 110094.
- Yiming Xu, Akil Narayan, Randomized weakly admissible meshes, 2021.
- Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Robust topology optimization with low rank approximation using artificial neural networks, Computational Mechanics 68 (2021) no. 6, 1297--1323.
- Roland Pulch, Akil Narayan, Tatjana Stykel, Sensitivity analysis of random linear differential--algebraic equations using system norms, Journal of Computational and Applied Mathematics 397 (2021), 113666.
- Ling Guo, Akil Narayan, Yongle Liu, Tao Zhou, Sparse approximation of data-driven Polynomial Chaos expansions: an induced sampling approach, arXiv preprint arXiv:2008.10121 (2020).
- Mani Razi, Robert Mike Kirby, Akil Narayan, Kernel optimization for low-rank multifidelity algorithms, International Journal for Uncertainty Quantification 11 (2021) no. 1.
- Nihar Sawant, Boris Kramer, Benjamin Peherstorfer, Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference, arXiv preprint arXiv:2107.02597 (2021).
- Brian B Avants, Nicholas J Tustison, James R Stone, Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data, arXiv preprint arXiv:2006.06545 (2020).
- Gang Chen, Peter B Monk, Yangwen Zhang, L\^∞ Norm Error Estimates for HDG Methods Applied to the Poisson Equation with an Application to the Dirichlet Boundary Control Problem, SIAM Journal on Numerical Analysis 59 (2021) no. 2, 720--745.
- Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky, Lippmann--Schwinger--Lanczos algorithm for inverse scattering problems, Inverse Problems 37 (2021) no. 7, 075003.
- Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca, Low-CP-rank tensor completion via practical regularization, Journal of Scientific Computing 91 (2022) no. 1, 1--20.
- Kelly M Diamond, Brian B Avants, A Murat Maga, Machine learning-based segmentation and landmarking of 2D fish images, INTEGRATIVE AND COMPARATIVE BIOLOGY, vol. 61, OXFORD UNIV PRESS INC JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA, 2021, pp. E1100--E1101.
- Davide Palitta, Matrix equation techniques for certain evolutionary partial differential equations, Journal of Scientific Computing 87 (2021) no. 3, 1--36.
- Sergiy Borodachov, Min-Max Polarization for Certain Classes of Sharp Configurations on the Sphere, arXiv preprint arXiv:2203.13756 (2022).
- Vladimir Druskin, Stefan G{\"u}ttel, Leonid Knizhnerman, Model order reduction of layered waveguides via rational Krylov fitting, BIT Numerical Mathematics (2022), 1--22.
- Christian Himpe, Sara Grundel, Peter Benner, Model order reduction for gas and energy networks, Journal of Mathematics in Industry 11 (2021) no. 1, 1--46.
- Lihong Feng, Peter Benner, On error estimation for reduced-order modeling of linear non-parametric and parametric systems, ESAIM: Mathematical Modelling and Numerical Analysis 55 (2021) no. 2, 561--594.
- Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky, On extension of the data driven ROM inverse scattering framework to partially nonreciprocal arrays, arXiv preprint arXiv:2112.09634 (2021).
- Peter Benner, Pawan Goyal, Jan Heiland, Igor Pontes Duff, Operator inference and physics-informed learning of low-dimensional models for incompressible flows, arXiv preprint arXiv:2010.06701 (2020).
- Petar Mlinari{\'c}, Stephan Rave, Jens Saak, Parametric model order reduction using pyMOR, Model Reduction of Complex Dynamical Systems, Springer, 2021, pp. 357--367.
- Jacob Y Hesterman, Elliot Greenblatt, Andrew Novicki, Ali Ghayoor, Tyler Wellman, Brian Avants, Practical applications of machine learning in imaging trials, Visualizing and Quantifying Drug Distribution in Tissue V, vol. 11624, International Society for Optics and Photonics, 2021, pp. 116240I.
- Yiming Xu, Akil Narayan, Hoang Tran, Clayton G Webster, Analysis of the ratio of ℓ1 and ℓ2 norms in compressed sensing, Applied and Computational Harmonic Analysis 55 (2021), 486--511.
- Zhichao Peng, Min Wang, Fengyan Li, A learning-based projection method for model order reduction of transport problems, arXiv preprint arXiv:2105.14633 (2021).
- Ryleigh A Moore, Akil Narayan, Adaptive Density Tracking by Quadrature for Stochastic Differential Equations, arXiv preprint arXiv:2105.08148 (2021).
- Yiming Xu, Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, A bandit-learning approach to multifidelity approximation, SIAM Journal on Scientific Computing 44 (2022) no. 1, A150--A175.
- Yiming Xu, Akil Narayan, Budget-limited distribution learning in multifidelity problems, arXiv preprint arXiv:2105.04599 (2021).
- Dihan Dai, Yekaterina Epshteyn, Akil Narayan, Hyperbolicity-preserving and well-balanced stochastic Galerkin method for two-dimensional shallow water equations, Journal of Computational Physics 452 (2022), 110901.
- Davide Palitta, Sanda Lefteriu, An efficient, memory-saving approach for the Loewner framework, Journal of Scientific Computing 91 (2022) no. 2, 1--25.
- Wayne Isaac Tan Uy, Yuepeng Wang, Yuxiao Wen, Benjamin Peherstorfer, Active operator inference for learning low-dimensional dynamical-system models from noisy data, arXiv preprint arXiv:2107.09256 (2021).
- Sridhar Chellappa, Lihong Feng, Peter Benner, A training set subsampling strategy for the reduced basis method, Journal of Scientific Computing 89 (2021) no. 3, 1--34.
- Liliana Borcea, Vladimir Druskin, J{\"o}rn Zimmerling, A reduced order model approach to inverse scattering in lossy layered media, Journal of Scientific Computing 89 (2021) no. 1, 1--36.
- Peter Benner, Heike Fassbender, Philip Saltenberger, A rational Even-IRA algorithm for the solution of T-even polynomial eigenvalue problems, SIAM Journal on Matrix Analysis and Applications 42 (2021) no. 3, 1172--1198.
- Peter Benner, Sara Grundel, Petar Mlinari{\'c}, Clustering-Based Model Order Reduction for Nonlinear Network Systems, Model Reduction of Complex Dynamical Systems, Springer, 2021, pp. 75--96.
- Neeraj Sarna, Peter Benner, Data-Driven model order reduction for problems with parameter-dependent jump-discontinuities, Computer Methods in Applied Mechanics and Engineering 387 (2021), 114168.
- Neeraj Sarna, Jan Giesselmann, Peter Benner, Data-driven snapshot calibration via monotonic feature matching, arXiv preprint arXiv:2009.08414 (2020).
- Zhuo-Heng He, Carmeliza Navasca, Xiang-Xiang Wang, Decomposition for a Quaternion Tensor Triplet with Applications, Advances in Applied Clifford Algebras 32 (2022) no. 1, 1--19.
- Brian Avants, Elliot Greenblatt, Jacob Hesterman, Nicholas Tustison, Deep Volumetric Feature Encoding for Biomedical Images, International Workshop on Biomedical Image Registration, Springer, 2020, pp. 91--100.
- Vladimir Druskin, Alexander V Mamonov, Mikhail Zaslavsky, Distance preserving model order reduction of graph-Laplacians and cluster analysis, Journal of Scientific Computing 90 (2022) no. 1, 1--30.
- James R Stone, Brian B Avants, Nicholas J Tustison, Eric M Wassermann, Jessica Gill, Elena Polejaeva, Kristine C Dell, Walter Carr, Angela M Yarnell, Matthew L LoPresti, others, Functional and structural neuroimaging correlates of repetitive low-level blast exposure in career breachers, Journal of neurotrauma 37 (2020) no. 23, 2468--2481.
- Ion Victor Gosea, Serkan Gugercin, Data-driven modeling of linear dynamical systems with quadratic output in the AAA framework, Journal of Scientific Computing 91 (2022) no. 1, 1--28.
- Ion Victor Gosea, Serkan Gugercin, Christopher Beattie, Data-driven balancing of linear dynamical systems, SIAM Journal on Scientific Computing 44 (2022) no. 1, A554--A582.
- Lihong Feng, Guosheng Fu, Zhu Wang, A FOM/ROM Hybrid Approach for Accelerating Numerical Simulations, Journal of Scientific Computing 89 (2021) no. 3, 1--16.
- Zhichao Peng, Yanlai Chen, Yingda Cheng, Fengyan Li, A reduced basis method for radiative transfer equation, Journal of Scientific Computing 91 (2022) no. 1, 1--27.